We held four webinars; each webinar was approximately 50 minutes (35 to 40 min presentation, followed by 10 – 15 min Q&A). Webinars were recorded and archived for future viewing. 

Coordinator: Wiedmann, Martin (NY CoE) mw16 [at] cornell.edu (mw16[at]cornell[dot]edu)

If you have any questions or concerns regarding the modules or webinars, please contact Alexa Cohn (arc326 [at] cornell.edu (arc326[at]cornell[dot]edu)).

After completion of the module, attendees will know:

  • Why WGS represents a superior molecular epidemiology tool over other methods
  • How WGS has already been used to facilitate improved surveillance and trackback of infectious disease outbreaks.

Presenters:

Joel Sevinsky (CO) and CDC

March 10th, 2017, 11am EST

Watch Webinar "Whole genome sequencing for epidemiologists"

After completion of the module, attendees will know:

  • How NGS data are analyzed from raw data to sequence contigs

Presenters:

Madhu Anand (NY)

April 21st, 2017, 3pm EST

Watch Webinar "WGS data analysis methodology – what epidemiologists need to know" 

After completion of the module, attendees will know:

  • The advantages of wgMLST and hqSNP trees
  • Why and how the same raw data can yield different trees
  • How to interpret trees

Presenters:

Martin Wiedmann (NY)

May 24th, 2017, 3pm EST

Watch Webinar "hqSNP, wgMLST and the WGS alphabet soup: what epidemiologists need to know"

After completion of the module, attendees will know:

  • How WGS is used in foodborne disease surveillance and outbreak investigations
  • Challenges and best practices for communications of WGS data between epidemiologists and laboratorians

Presenters:

Matt Wise (CDC), Carlota Medus (MN), Steffany Cavallo (TN)

June 29th, 2017, 3pm EST

Watch Webinar "Case studies on use of WGS in foodborne disease surveillance and outbreak investigations"